The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
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Updated
Sep 19, 2024 - Jupyter Notebook
The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Experimental Python implementation of the Clarion cognitive architecture
A curated paper list on neural symbolic and probabilistic logic.
An explainable inference software supporting annotated, real valued, graph based and temporal logic
Framework and Language for Neurosymbolic Programming. Join Our Discord: https://discord.gg/RavzdND229
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)
mOWL: Machine Learning library with Ontologies
AMS Network on Neurosymbolic AI for Medicine
Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
A neurosymbolic parser for Dutch.
Source code for the neuro-fuzzy network of the paper: "Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification"
Integrating Symbolic Programming and Neuromorphic Modeling with NVIDIA Jetson and GPU-based DNN/ML Systems for Edge Labs
Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Human-AI Pair Programming / Neurosymbolic Language / IDE / OS
Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"
[TPAMI] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search", Wenqing Zheng*, S P Sharan*, Zhiwen Fan, Kevin Wang, Yihan Xi, Atlas Wang
A survey investigating the concept space prior in Vision and Language models
The official implementation of an Insect-Inspired Randomly Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning (NeSy20/21@IJCLR)
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